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621 to 630 of 694 Results
Chicago Blocks Land Surface Temperature 2013-2022
Jun 24, 2024
Khemani, Muskaan; Lane, Kevin; Rundle, Jason; Macaraeg, Sarah, 2024, "Chicago Blocks Land Surface Temperature 2013-2022", https://doi.org/10.7910/DVN/GTLASR, Harvard Dataverse, V1
These data contain the processed Land Surface Temperature using the USGS Landsat 8 Level 2, Collection 2, Tier 1 'LANDSAT/LC08/C02/T1_L2' dataset.
Spatial Catalog of the Extreme Heat and Cold Events in the U.S.
Spatial Catalog of the Extreme Heat and Cold Events in the U.S.
Jun 7, 2024 - Harvard Dataverse
Fard, Pedram; Patel, Chirag J.; Estiri, Hossein, 2023, "Spatial Catalog of the Extreme Heat and Cold Events in the U.S.", https://doi.org/10.7910/DVN/DJGKDJ, Harvard Dataverse, V6
This data set provides spatial catalog of the Extreme Heat and Cold Events (EHE/ECE) in the U.S. This also includes curated data set of the historical weather variables from the NOAA's Integrated Surface Data Set (ISD).
TIGER/Line Sum Road Length by Classification for US Census Tracts (2020)
May 15, 2024
Popp, Zachary; Milechin, Dennis; Spangler, Keith; Lane, Kevin, 2024, "TIGER/Line Sum Road Length by Classification for US Census Tracts (2020)", https://doi.org/10.7910/DVN/QN92JF, Harvard Dataverse, V1, UNF:6:f7aXsfwkiGRVgJOdf7MN4A== [fileUNF]
Sum road length is calculated at the 2020 census tract-level using 2020 TIGER/Line roads data. Total road length is measured, as well as road length within each of several MAF/TIGER Feature Class Code (MTFCC) classes.
US Major Cities NDVI Summer Exposure Tracts 2000, 2010 and 2019
May 3, 2024
Lane, Kevin, 2024, "US Major Cities NDVI Summer Exposure Tracts 2000, 2010 and 2019", https://doi.org/10.7910/DVN/JCXHDX, Harvard Dataverse, V1, UNF:6:SKPSfANihtjuSHHx97Wp+g== [fileUNF]
Normalized difference vegetation index (NDVI) was derived from Landsat satellite imagery captured every 16 days at a 30 m resolution downloaded from Google Earth Engine (GEE) between April and September for each of the three distinct time points (2000, 2010, and 2019) at the census tract level for metropolitan statistical areas containing a city wi...
Köppen-Geiger Climate Classifications by United States administrative boundaries
May 1, 2024 - NSAPH
Audirac, Michelle, 2024, "Köppen-Geiger Climate Classifications by United States administrative boundaries", https://doi.org/10.7910/DVN/BG0OHO, Harvard Dataverse, V1, UNF:6:9ltwF8jHVJK6CJJGd7bTJA== [fileUNF]
This dataset provides spatial aggregations of Köppen-Geiger climate classifications for US counties and ZIP Code Tabulation Areas (ZCTA). The spatial aggregations are performed for climate classification information going from approximately 1-km gridded global raster data (geoTIFF) to US polygon features (shapefile). The datasets include the predom...
National-Power-Outages: Code to clean and analyze national power outages
Apr 23, 2024
Vivian, Do; McBrien, Heather; Flores, Nina M.; Northrop, Alexander J.; Schlegelmilch, Jeffrey; Kiang, Mathew V.; Casey, Joan A., 2024, "National-Power-Outages: Code to clean and analyze national power outages", https://doi.org/10.7910/DVN/J0IZWX, Harvard Dataverse, V1, UNF:6:9qVZ916YFUuk9dy5yRh8mA== [fileUNF]
Power outages threaten public health. While outages will likely increase with climate change, an aging electrical grid, and increased energy demand, little is known about their frequency and distribution within states. Here, we characterize 2018–2020 outages, finding an average of 520 million customer-hours total without power annually across 2447...
Daily local-level estimates of ambient wildfire smoke PM2.5 for the contiguous US
Feb 26, 2024
Childs, Marissa; Li, Jessica; Wen, Jeffrey; Heft-Neal, Sam; Driscoll, Anne; Wang, Sherrie; Gould, Carlos; Qiu, Minghao; Burney, Jennifer; Burke, Marshall, 2024, "Daily local-level estimates of ambient wildfire smoke PM2.5 for the contiguous US", https://doi.org/10.7910/DVN/DJVMTV, Harvard Dataverse, V1, UNF:6:F8qjyHrmAWW3JxnlUNRSxQ== [fileUNF]
Daily smoke PM2.5 predictions from Jan 1, 2006 to Dec 31, 2020 for the contiguous US. Native predictions were produced on a 10km grid, and county-, tract- and zcta-level smoke PM2.5 estimates are aggregated from 10 km resolution predictions using population- and area of intersection-weighted averaging. When citing this dataset, please also cite the...
Population-Weighted Annual PM2.5 for US Census Tracts
Feb 21, 2024
Popp, Zachary; Spangler, Keith; Khemani, Muskaan; Lane, Kevin, 2024, "Population-Weighted Annual PM2.5 for US Census Tracts", https://doi.org/10.7910/DVN/G8IHL2, Harvard Dataverse, V1
Uses SEDAC dataset Annual Mean PM2.5 Components (EC, NH4, NO3, OC, SO4) 50m Urban and 1km Non-Urban Area Grids for Contiguous U.S., v1 (2000 – 2019) to derive census-tract level estimates of air pollutant exposure weighted by population concentration (based on census blocks)
Synthetic daily mortality time series for California counties
Feb 3, 2024
Nethery, Rachel C.; Nori-Sarma, Amruta, 2024, "Synthetic daily mortality time series for California counties", https://doi.org/10.7910/DVN/ART54Z, Harvard Dataverse, V1, UNF:6:hRfEYXyrwzuRLPdlZh/g8Q== [fileUNF]
Synthetic daily mortality time series for California counties, 01/01/2015-12/31/2019. These data were generated for use in a synthetic study of associations between wildfire-attributable PM2.5 exposure and mortality to demonstrate climate and health research analytic methods as part of the 'Educational Demo - Introductory Lectures in Climate and He...
Time Series of US Census Bureau Variables
Feb 1, 2024 - NSAPH
Sardana, Nishtha; Audirac, Michelle, 2024, "Time Series of US Census Bureau Variables", https://doi.org/10.7910/DVN/N3IEXS, Harvard Dataverse, V1
This dataset, sourced from the United States Census Bureau, presents time series data at the county, ZCTA, and state levels. It includes a select number of variables from the American Community Survey (ACS) 1-Year Estimates, ACS 5-Year Estimates, and the Decennial Census (SF1). A key feature of this dataset is the harmonization of variable codes ac...
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